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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Systems Thinking System Dynamics Simulation |  Systems Thinking Behavior Over Time Graph |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | A Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots. |
Complexitydifferent | High | High | High | Low |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | Mehrere Tage bis Wochen | 20-45 min |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 1-5 Modellierende, Stakeholder asynchron | 1-10 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Simulation Model, Scenario Reports | Behavior Over Time Graph, Trend Hypotheses, Key Events |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | Systems thinkingDynamicsSimulationAnalysis | Systems thinkingPatternsDynamics |